Gaussian Processes for time series inference

gp_conditional | Reconstruct a Gaussian Process conditional on some data. |

gp_fit | Find Maximum Posterior solution for a Gaussian Process model. |

gp_lagMatrix | Compute a matrix of differences given two vectors. |

gp_logLikelihood | Compute log likelihood function for Gaussian Process model. |

gp_logPosterior | Compute a posterior density given likelihood and prior. |

gp_sim | Generate a random GP realisation. |

plot_snake | Make a 'snake' plot of a Gaussian Process model |

plot_ts | Nice plot of time series data |

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